{"id":"https://openalex.org/W4399601380","doi":"https://doi.org/10.1109/tcsvt.2024.3413778","title":"Boosting Weakly-Supervised Image Segmentation via Representation, Transform, and Compensator","display_name":"Boosting Weakly-Supervised Image Segmentation via Representation, Transform, and Compensator","publication_year":2024,"publication_date":"2024-06-13","ids":{"openalex":"https://openalex.org/W4399601380","doi":"https://doi.org/10.1109/tcsvt.2024.3413778"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3413778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3413778","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100451086","display_name":"Chunyan Wang","orcid":"https://orcid.org/0000-0003-0537-0759"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101818657","display_name":"Dong Zhang","orcid":"https://orcid.org/0000-0002-4543-2179"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dong Zhang","raw_affiliation_strings":["Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-4543-2179","affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716371","display_name":"Rui Yan","orcid":"https://orcid.org/0000-0002-0694-9458"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yan","raw_affiliation_strings":["Department of Computer Science and Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0694-9458","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4299,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62077967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"34","issue":"11","first_page":"11013","last_page":"11025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.7833999991416931,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.7833999991416931,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.7447999715805054,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.7437000274658203,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.737554669380188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.707179605960846},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6188924312591553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6014753580093384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5712668299674988},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.536735475063324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5037667155265808},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4305006265640259},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3258827030658722}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.737554669380188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.707179605960846},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6188924312591553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6014753580093384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5712668299674988},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.536735475063324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5037667155265808},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4305006265640259},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3258827030658722}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2024.3413778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3413778","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-139572","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-139572","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2043501656","display_name":null,"funder_award_id":"2023TQ0151","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2268872017","display_name":null,"funder_award_id":"2023M731596","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6016136854","display_name":null,"funder_award_id":"62302208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7040971259","display_name":null,"funder_award_id":"14380109","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":92,"referenced_works":["https://openalex.org/W611457968","https://openalex.org/W1745334888","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2144794286","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2412782625","https://openalex.org/W2558580397","https://openalex.org/W2799124825","https://openalex.org/W2962758679","https://openalex.org/W2962867364","https://openalex.org/W2963342403","https://openalex.org/W2963727650","https://openalex.org/W2963891777","https://openalex.org/W2992308087","https://openalex.org/W2996952120","https://openalex.org/W2997169099","https://openalex.org/W3003728293","https://openalex.org/W3032908737","https://openalex.org/W3034681889","https://openalex.org/W3034930876","https://openalex.org/W3035524453","https://openalex.org/W3035680157","https://openalex.org/W3035703639","https://openalex.org/W3041935510","https://openalex.org/W3048402753","https://openalex.org/W3082755608","https://openalex.org/W3106728613","https://openalex.org/W3107695429","https://openalex.org/W3108052345","https://openalex.org/W3122412340","https://openalex.org/W3132455321","https://openalex.org/W3166286626","https://openalex.org/W3175722450","https://openalex.org/W3176692018","https://openalex.org/W3177958285","https://openalex.org/W3207624121","https://openalex.org/W3207676276","https://openalex.org/W4210335518","https://openalex.org/W4213448312","https://openalex.org/W4214554179","https://openalex.org/W4221115899","https://openalex.org/W4221144896","https://openalex.org/W4224247218","https://openalex.org/W4226158211","https://openalex.org/W4226195328","https://openalex.org/W4282935002","https://openalex.org/W4286905173","https://openalex.org/W4289444492","https://openalex.org/W4295747380","https://openalex.org/W4296558679","https://openalex.org/W4304098253","https://openalex.org/W4312315124","https://openalex.org/W4312509967","https://openalex.org/W4312566218","https://openalex.org/W4312570500","https://openalex.org/W4312647976","https://openalex.org/W4312680544","https://openalex.org/W4312709262","https://openalex.org/W4312751731","https://openalex.org/W4313052647","https://openalex.org/W4313069833","https://openalex.org/W4313151123","https://openalex.org/W4313153210","https://openalex.org/W4315783894","https://openalex.org/W4319996358","https://openalex.org/W4320492418","https://openalex.org/W4377715518","https://openalex.org/W4380630974","https://openalex.org/W4382467532","https://openalex.org/W4386066092","https://openalex.org/W4386083007","https://openalex.org/W4390874575","https://openalex.org/W4404133542","https://openalex.org/W6600609147","https://openalex.org/W6637373629","https://openalex.org/W6755402806","https://openalex.org/W6776700526","https://openalex.org/W6784163774","https://openalex.org/W6794559225","https://openalex.org/W6802404399","https://openalex.org/W6842778821","https://openalex.org/W6847589024","https://openalex.org/W6848353633","https://openalex.org/W6852031308","https://openalex.org/W6852212945","https://openalex.org/W6852913297","https://openalex.org/W6861125885"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2945274617","https://openalex.org/W3199300986","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703"],"abstract_inverted_index":{"Weakly-supervised":[0],"image":[1],"segmentation":[2,167],"(WSIS)":[3],"is":[4,130],"a":[5,77,84,101,108,126],"fundamental":[6],"task":[7],"in":[8,28,39],"the":[9,55,92,123,152,166,172,181,211],"domain":[10],"of":[11,94,154],"computer":[12],"vision":[13],"that":[14,65,82,112,132,180,226],"relies":[15],"on":[16,171,194,205],"image-level":[17],"class":[18,95,135],"labels.":[19],"While":[20],"multi-stage":[21],"training":[22,56],"procedures":[23],"have":[24,45,237],"been":[25,215,238],"widely":[26],"used":[27,161],"existing":[29],"WSIS":[30,43,80],"methods":[31,44,60],"to":[32,50,90,145,164,217,229],"obtain":[33],"high-quality":[34,158],"pseudo-masks":[35,64,163],"as":[36,162],"ground-truth,":[37],"resulting":[38],"significant":[40],"progress,":[41],"single-stage":[42,59,79],"recently":[46],"gained":[47],"attention":[48],"due":[49],"their":[51,67],"potential":[52],"for":[53,137],"simplifying":[54],"procedure.":[57],"However,":[58],"suffer":[61],"from":[62,122],"low-quality":[63],"limit":[66],"practical":[68],"applications.":[69],"To":[70],"address":[71],"this":[72,74],"problem,":[73],"paper":[75],"proposes":[76],"novel":[78],"method":[81,106,111,183,213],"utilizes":[83],"siamese":[85],"network":[86],"with":[87],"contrastive":[88,138],"learning":[89,139],"improve":[91],"quality":[93,153],"activation":[96],"maps":[97],"(CAMs)":[98],"and":[99,140,176,191,200,222],"achieve":[100,230],"self-refinement":[102],"result.":[103,168],"The":[104,156,234],"proposed":[105,182,212],"employs":[107],"cross-representation":[109],"refinement":[110],"expands":[113],"reliable":[114],"object":[115,220],"regions":[116],"by":[117],"utilizing":[118],"different":[119],"feature":[120],"representations":[121],"backbone.":[124],"Besides,":[125],"cross-transform":[127],"regularization":[128],"module":[129],"introduced":[131],"learns":[133],"robust":[134],"prototypes":[136],"captures":[141],"global":[142],"context":[143],"information":[144],"feed":[146],"back":[147],"rough":[148],"CAMs,":[149],"thereby":[150],"improving":[151],"CAMs.":[155],"final":[157],"CAMs":[159],"are":[160],"supervise":[165],"Experimental":[169],"results":[170,224],"PASCAL":[173,195],"VOC":[174,196],"2012":[175,197],"COCO":[177,206],"datasets":[178],"demonstrate":[179,225],"significantly":[184],"outperforms":[185],"other":[186],"state-of-the-art":[187],"methods,":[188],"achieving":[189],"72.38%":[190],"72.95%":[192],"mIoU":[193,204],"val":[198,207],"set":[199],"test":[201],"set,":[202,208],"42.51%":[203],"respectively.":[209],"Furthermore,":[210],"has":[214],"extended":[216],"weakly":[218],"supervised":[219],"localization,":[221],"experimental":[223],"it":[227],"continues":[228],"very":[231],"competitive":[232],"results.":[233],"source":[235],"codes":[236],"released":[239],"at":[240],"<uri":[241],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[242],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/ChunyanWang1/RTC</uri>.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
